Radial Magnetic Compression of DIII-D Plasmas

POSTER

Abstract

Radial magnetic plasma (R) compression technique will be applied to DIII-D tokamak NBI heated plasmas. The objective is to improve fusion performance. Therefore, it is important to learn how the energy confinement τE, density ne, electron Te and ion Ti temperatures, plasma current Ip, toroidal field BT, and toroidal velocity vΦ evolve during the R-compression and how these interdependent quantities vary with the compression time τc and compression factor CR. Here, CR ≡ Ro(i)/Ro(f), and i/f refer to the initial/final positions of the major radius Ro. High-performance plasmas (H-mode, τE ~ 0.13-0.16s) will be compressed using relatively fast R-compression (τfc = 0.02-0.10s) with modest values of CR = 1.15-1.22, and compare the results with those of a reference campaign that used slow R-compression τsc ~ 0.5s [C.M. Greenfield, N. Fus., 37(9), 1215 (1997)] which, nevertheless, led to high performance showing VH-like features (higher vΦ, similar ne, Te, and τE, but higher Ti thus higher triple product). R-compression at both slow and fast rates are achieved by ramping up the major equilibrium vertical field. Relative to the reference campaign, with the shorter τc and the expected similar τE thus τc ≡ τfc < τE, we expect to observe some level of adiabatic R-compression benefits predicted by adiabatic scaling law [H. P. Furth and S. Yoshikawa, Phys. Fluids, 13(10), 2593 (1970)]: increase in ne, Te, Ti, Ip, BT, and vΦ. Therefore, higher triple product is expected. The Next Step Fusion Simulator will model the R-compression.

Presenters

  • Celso Ribeiro

    General Fusion Inc, General Fusion Inc.

Authors

  • Celso Ribeiro

    General Fusion Inc, General Fusion Inc.

  • Dmitriy M Orlov

    University of California, San Diego, University of California San Diego

  • Alan W Hyatt

    General Atomics - San Diego

  • Jayson L Barr

    General Atomics - San Diego

  • Max E Austin

    University of Texas at Austin, University of Texas Austin

  • Charles Mark Greenfield

    Oak Ridge National Laboratory

  • Georgy Subbotin

    Next Step Fusion

  • Eduard Khayrutdinov

    Next Step Fusion

  • Maxim Nurgaliev

    Next Step Fusion